ArticlePLoS computational biology2016
Population Heterogeneity in the Epithelial to Mesenchymal Transition Is Controlled by NFAT and Phosphorylated Sp1.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 35 citations in OpenAlex.
- Overexpression of Nuclear Factor of Activated T-cells (NFAT) Transcription Factors Drives Chemoresistance and Poor Outcomes in Pancreatic Cancer.Annals of surgical oncology · 2025Article
- The kinase ERK plays a conserved dominant role in the heterogeneity of epithelial-mesenchymal transition in pancreatic cancer cells.Science signaling · 2025Article
- Boolean modeling of mechanosensitive epithelial to mesenchymal transition and its reversal.iScience · 2023Article
- Single-copy Snail upregulation causes partial epithelial-mesenchymal transition in colon cancer cells.BMC cancer · 2023Article
- Chronic Leptin Treatment Induces Epithelial-Mesenchymal Transition in MCF10A Mammary Epithelial Cells.Journal of mammary gland biology and neoplasia · 2022Article
- Review
- Hypoxia, partial EMT and collective migration: Emerging culprits in metastasis.Translational oncology · 2020Review
- TopoFilter: a MATLAB package for mechanistic model identification in systems biology.BMC bioinformatics · 2020Article
- NFATc Acts as a Non-Canonical Phenotypic Stability Factor for a Hybrid Epithelial/Mesenchymal Phenotype.Frontiers in oncology · 2020Article
- Effective Biophysical Modeling of Cell Free Transcription and Translation Processes.Frontiers in bioengineering and biotechnology · 2020Article
- Quantifying Cancer Epithelial-Mesenchymal Plasticity and its Association with Stemness and Immune Response.Journal of clinical medicine · 2019Review
- Confocal micrographs: automated segmentation and quantitative shape analysis of neuronal cells treated with ostreolysin A/pleurotolysin B pore-forming complex.Histochemistry and cell biology · 2018Article
- An Effective Model of the Retinoic Acid Induced HL-60 Differentiation Program.Scientific reports · 2017Article
- Automatic jargon identifier for scientists engaging with the public and science communication educators.PloS one · 2017Article
- The Many-Faced Program of Epithelial-Mesenchymal Transition: A System Biology-Based View.Frontiers in oncology · 2017Review
- Deciphering Epithelial-Mesenchymal Transition Regulatory Networks in Cancer through Computational Approaches.Frontiers in oncology · 2017Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Epithelial to mesenchymal transition (EMT) is an essential differentiation program during tissue morphogenesis and remodeling. EMT is induced by soluble transforming growth factor β (TGF-β) family members, and restricted by vascular endothelial growth factor family members. While many downstream molecular regulators of EMT have been identified, these have been largely evaluated individually without considering potential crosstalk. In this study, we created an ensemble of dynamic mathematical models describing TGF-β induced EMT to better understand the operational hierarchy of this complex molecular program. We used ordinary differential equations (ODEs) to describe the transcriptional and post-translational regulatory events driving EMT. Model parameters were estimated from multiple data sets using multiobjective optimization, in combination with cross-validation. TGF-β exposure drove the model population toward a mesenchymal phenotype, while an epithelial phenotype was enhanced following vascular endothelial growth factor A (VEGF-A) exposure. Simulations predicted that the transcription factors phosphorylated SP1 and NFAT were master regulators promoting or inhibiting EMT, respectively. Surprisingly, simulations also predicted that a cellular population could exhibit phenotypic heterogeneity (characterized by a significant fraction of the population with both high epithelial and mesenchymal marker expression) if treated simultaneously with TGF-β and VEGF-A. We tested this prediction experimentally in both MCF10A and DLD1 cells and found that upwards of 45% of the cellular population acquired this hybrid state in the presence of both TGF-β and VEGF-A. We experimentally validated the predicted NFAT/Sp1 signaling axis for each phenotype response. Lastly, we found that cells in the hybrid state had significantly different functional behavior when compared to VEGF-A or TGF-β treatment alone. Together, these results establish a predictive mechanistic model of EMT susceptibility, and potentially reveal a novel signaling axis which regulates carcinoma progression through an EMT versus tubulogenesis response.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.